Estimating and Enhancing Residual Performance in an Energy Storage System

ABSTRACT

A system and method is provided for estimating and enhancing performance that can be delivered by an energy storage system beyond the energy storage system&#39;s warranty period. The system includes an energy management system configured to communicate and manage the energy storage system and a data processing system configured to communicate with the energy management system. The system is configured to estimate performance delivered by the energy storage system beyond the energy storage system&#39;s warranty period, identify adaptations to be made to enhance the performance of the energy storage system, and make adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system beyond the energy storage system&#39;s warranty period.

FIELD

Embodiments disclosed herein relate to energy storage systems (ESS), andmore particularly but not exclusively, to enhancing and estimating lifeof ESS.

BACKGROUND

ESS, such as, batteries are used to power systems, such as, electricvehicles, hybrid vehicles and uninterruptible power supply systems,among other systems. Over a period of usage the ESS starts to degradeand results in reduced performance being delivered by the ESS. Thedegradation of the ESS may be due to various factors, such as, patternin which the ESS may be used, operating conditions, and impropermaintenance of the ESS, among others. Further, in some cases the ESSbegins to degrade faster than usual, and if corrective measures are nottaken then the life of the ESS is eventually reduced.

Typically, manufacturers provide warranty with respect to performance ofthe ESS based on the application the ESS is meant to be used. Further,the warranty period is based on the normal working condition of the ESSin the application it is used. Generally, beyond the warranty period theESS normally do not deliver the desired performance.

The ESS, even though normally do not deliver the performance desired forits initial application after the warrant period, they can be usedbeyond the warrant period for the same application for some moreduration, however with lower performance. Alternatively, the ESS can beused beyond the warrant period for some other application for some moreduration, where performance level lower than the initial performancelevel is satisfactory.

In light of the foregoing discussion, it would be desirable to know theperformance the ESS may deliver. Additionally, it would be desirable toenhance the performance that the ESS can deliver and also increase theduration for which the ESS can be used.

STATEMENT OF INVENTION

Accordingly the invention provides a method and system for estimatingperformance delivered by an energy storage system. The method includes,collecting data corresponding to the energy storage system, generatingbehavioral pattern of the energy storage system using at least a portionof the collected data, comparing the behavioral pattern with patternsdeveloped using historical data, identifying a pattern among thepatterns developed using historical data, wherein the identified patternis similar to the behavioral pattern of the energy storage system, andestimating the performance delivered by an energy storage system basedon performance indicated in the identified pattern.

There is also provided a method and system for enhancing performancethat can be delivered by an energy storage system. The method includes,identifying adaptations to be made to enhance the performance of theenergy storage system, and making adaptations to the energy storagesystem, thereby enhancing the performance that can be delivered by anenergy storage system.

These and other aspects of the embodiments herein will be betterappreciated and understood when considered in conjunction with thefollowing description and the accompanying drawings. It should beunderstood, however, that the following descriptions, while indicatingpreferred embodiments and numerous specific details thereof, are givenby way of illustration and not of limitation. Many changes andmodifications may be made within the scope of the embodiments hereinwithout departing from the spirit thereof, and the embodiments hereininclude all such modifications.

BRIEF DESCRIPTION OF FIGURES

Embodiments herein are illustrated in the accompanying drawings, throughout which like reference letters indicate corresponding parts in thevarious figures. The embodiments herein will be better understood fromthe following description with reference to the drawings, in which:

FIGS. 1 and 1 a are block diagrams illustrating a system 100 forenabling determination and enhancement of the performance the ESS 102may deliver, in accordance with an embodiment;

FIG. 2 is a block diagram illustrating an EMS 104, in accordance with anembodiment;

FIG. 3 is a flowchart illustrating a method for determiningperformance/life of the ESS 102, in accordance with an embodiment;

FIG. 4 illustrates an exemplary graph of affect of operating temperatureon capacity of the ESS 102, in accordance with an embodiment;

FIG. 5 illustrates an exemplary graph of affect of state of chargeduring idle period on life of the ESS 102, in accordance with anembodiment;

FIG. 6 is a flow chart illustrating a method for enhancingperformance/life of the ESS 102, in accordance with an embodiment;

FIG. 7 illustrates an adaptation that is made to the ESS 102, inaccordance with an embodiment; and

FIG. 8 is a graph illustrating charge and discharge pattern of ESS, inaccordance with an embodiment.

DETAILED DESCRIPTION

The embodiments herein and the various features and advantageous detailsthereof are explained more fully with reference to the non-limitingembodiments that are illustrated in the accompanying drawings anddetailed in the following description. Descriptions of well-knowncomponents and processing techniques are omitted so as to notunnecessarily obscure the embodiments herein. The examples used hereinare intended merely to facilitate an understanding of ways in which theembodiments herein may be practiced and to further enable those of skillin the art to practice the embodiments herein. Accordingly, the examplesshould not be construed as limiting the scope of the embodiments herein.

The embodiments herein enable estimation of performance an energystorage system ESS may deliver. Additionally, the embodiments disclosedherein enable enhancement of performance that the ESS can deliver.Referring now to the drawings, and more particularly to FIGS. 1 through8, where similar reference characters denote corresponding featuresconsistently throughout the figures, there are shown preferredembodiments.

System Description

FIG. 1 is a block diagram illustrating a system 100 for enablingestimation of the performance the ESS 102 may deliver, in accordancewith an embodiment. Further, the system 100 can enable enhancement ofperformance the ESS 102 can deliver. The system 100 includes ESS 102, anenergy management system (EMS) 104, and a data processing system (DPS)106. The ESS 102 is configured to be managed by EMS 104. Further, theEMS 104 is configured to communicate with DPS 106 over a communicationnetwork 108. The communication network 108 can include wired means,wireless means or a combination of wired and wireless means, therebyenabling communication between the EMS 104 and the DPS 106. By way ofexample, the EMS 104 and DPS 106 can communicate over atelecommunication network. Further, in an embodiment, the DPS 106 can belocated at a location that is remote to the location of the ESS 102 andthe EMS 104.

Energy Storage System

The ESS 102 can be a battery pack capable of storing electricity. TheESS 102, by way of example, may comprise, one or more or in combination,Lead-acid battery, Gel battery, Lithium ion battery, Lithium ion polymerbattery, NaS battery, Nickel-iron battery, Nickel metal hydride battery,Nickel-cadmium battery, and capacitors among others. The ESS isconfigured to be managed by EMS 104.

Energy Management Systems

FIG. 2 is a block diagram illustrating an EMS 104, in accordance with anembodiment. EMS 104 comprises a processor 202, memory device 204, inputand output (I/O) device 206 and signal transmitting and receiving device208. Processor 202 is capable of receiving and processing data obtainedfrom, I/O device 206, signal transmitting and receiving device 208, andmemory device 204. Further, the processor 202 is capable of sending datato memory device 204 for storage. Additionally, the processor 202 iscapable of sending commands to I/O device 206 which in turn arecommunicated to systems and sub-systems associated with the I/O device206. Further, the processor 202 is capable of sending data to signaltransmitting and receiving device 208 for transmitting the data to DPS106 and the like. In an embodiment, processor 202 is made of electroniccircuits comprising commercially available general purposemicrocontroller chips. The memory device 204 may comprise a combinationof volatile and non volatile memory chips that can store information indigital form. The I/O device 206 comprises sets of output lines each ofwhich is individually connected to the processor 202. These output linesmay be a combination of analog inputs, analog outputs, digital inputs,digital outputs, pulse/frequency outputs and data lines. The data linesare connected to the external world through signal transmitting andreceiving device 208.

Data Processing System

The EMS 104 can be configured to transmit data to remote locations andreceive data from remote locations. In some embodiments, the EMS 104communicates with one or more DPSs, which can be located at anylocation, including one or more remote locations. The DPS 106 caninclude one or more memory devices connected to one or more processingunits. The one or more processing units can include, for example, ageneral-purpose microprocessor, an application-specific integratedcircuit, a field-programmable gate array, another device capable ofmanipulating data, or a combination of devices. In certain embodiments,at least some of the one or more memory devices are integrated with atleast one of the processing units. In an embodiment, a DPS 104 is adedicated computer capable of wirelessly communicating over atelecommunication network. In other embodiments, the DPS may be adiscrete set of components that perform the functions of a DPS asdescribed herein.

In an embodiment, the ESS 102 and EMS 104 can be subsystems of an energysystem 110, as illustrated in FIG. 1 a. The energy system 110 includesESS 102, EMS 104 and energy consumption system (ECS) 112. One or moresubsystems of the ECS 112 are configured to consume energy stored in theESS 102. Further, in an embodiment, the EMS 104 is configured to manageboth the ESS 102 and the ECS 112. Examples of energy system 110 include,but are not limited to, electric vehicles, hybrid electric vehicles, anduninterruptable power supply systems. Further, the ECS 112, in anembodiment wherein energy system 110 is an electric vehicle, can includesub-systems, such as, drive train, motor controller, cabin climatecontrol, subsystem climate control, charging system, dashboard display,car access system, drive motor, seat climate control, cabin HVAC, add-onheating system, battery heater, battery ventilation, on board charger,safety system, crash sensor, sensing system, temperature sensor, fluidlevel sensor, and pressure sensor, among others. The one or moresubsystems of the ECS 112 at least partially consume electric energystored in the ESS 102. The distribution of the electric energy stored inthe ESS 102 to the sub-systems of the ECS 112 is at least partiallymanaged by the EMS 104.

Method for Estimating Performance That May be Delivered by ESS 102

FIG. 3 is a flowchart illustrating a method for determining performance(it may be noted that the word ‘performance’ in certain embodiments isused to refer to life of the ESS 102) that may be delivered by the ESS102, in accordance with an embodiment. At step 302 data corresponding tothe ESS 102 is collected. It may be noted that several parameterscorresponding to the ESS 102 affect the performance that may bedelivered by ESS 102. Hence, to determine the performance that may bedelivered by ESS 102, parameters corresponding to the ESS 102 aremonitored. Data corresponding to the parameters corresponding to the ESS102 are collected by the EMS 104. In an embodiment, the EMS 104 collectsdata in substantially real time. In another embodiment, the data iscollected by the EMS 104 at intervals of time. Further, the datacollected by the EMS 104 is transmitted to the DPS 106. In anembodiment, the EMS 104 processes the collected data, and transmits theprocessed data to the DPS 106 through the signal transmitting andreceiving device 208. Further, in an embodiment, the EMS 104 transmitsall the collected data to the DPS 106. Alternatively, the EMS 104 maytransmit collected data partially to the DPS 106.

The data collected from the ESS 102 is used to generate behavioralpattern of the ESS 102, at step 304. The pattern represents the mannerin which the ESS 102 has been performing. The pattern can be used toestimate the performance of the ESS 102. To estimate the performance,the behavioral pattern of the ESS 102 is compared with patternsdeveloped using historical data, at step 306. Historical data, such asparameters that are collected from the ESS 102 are collected fromsimilar ESS over a period of time. Using this data, historical patternsare developed corresponding to the behavior of the ESS. Hence, thesehistorical patterns indicate the manner in which ESS would behavecorresponding to their behavior. In an embodiment, historical data canalso mean data that is used in empirical mathematical models that areused to develop pattern against which behavioral patterns are compared.The patterns developed using empirical mathematical models are hereinreferred to as historical patterns. At step 306, the behavioral patternthat is developed at step 304 is compared with the historical patternsto identify a historical pattern that is similar to the currentbehavioral pattern. Once a historical pattern is identified, based onthe behavior in the historical pattern, behavior of the ESS 102 isestimated.

The various actions in the aforementioned method can be performed in theorder presented, in a different order or simultaneously. Further, insome embodiments, some actions listed in FIG. 3 can be omitted.

In an embodiment, the above method is used to estimate performance ofthe ESS 102 post warranty period of the ESS 102. Further, in light ofthe estimated performance, the value of the ESS 102 post warranty periodcan be calculated. Furthermore, based on the estimation, one can alsodetermine a field in which the ESS 102 may be used post warranty period.

Further, it may be noted that performance may correspond to a number ofparameters such as, energy storage capacity, power characteristics,internal impedance, and self-discharge rates, among other parameters.

In an embodiment, the EMS 104, to enable determination of theperformance that may be delivered by ESS 102, collects data while theESS 102 is being charged. When the ESS 102 is charged, the EMS 104collects from the ESS 102, data corresponding to, state of charge at thebeginning and end of the charging cycle, voltage, current, temperature,time, duration of charging and impedance, among other data. Further,additionally or alternatively, during the discharging cycle of the ESS102, the EMS 104 collects from the ESS 102, data corresponding to, stateof charge at the beginning and end of the discharging cycle, voltage,current, energy spend, temperature, time, duration for discharging, andimpedance, among other data. Furthermore, additionally or alternatively,during an idle period, when the ESS 102 is neither being charged ordischarged due to consumption of energy by ECS 106, the EMS 104 collectsfrom the ESS 102, data corresponding to, state of charge, voltage,duration of idle period, self discharge and temperature, among otherdata. Additionally, it may be noted that, a person skilled in the art,in light of the disclosed embodiments, can enable collection of some orall of the aforementioned data, or can also enable collection of anyadditional data to enable determination of performance that may bedelivered by ESS 102. Such modification would be within the scope ofthis invention.

The parameters that are collected represent the condition under whichthe ESS 102 is operated. The operating condition will have an effect onthe performance of the ESS 102. Hence, data representing the operatingconditions is collected to determine the performance that may bedelivered by ESS 102. FIG. 4 illustrates an exemplary graph of affect ofoperating temperature on capacity of the ESS 102, in accordance with anembodiment. In the graph, line 402 represents change in capacity of theESS 102 that is operated at 25° C., and line 404 represents change incapacity of the ESS 102 that is operated at 45° C. Further, lines 406and 408 refer to 100% and 80% ESS 102 capacity, respectively.Furthermore, points 412 and 410 refer to life in cycles of usage of ESS102 or years of usage of ESS 102, at which capacity of ESS 102 that isoperated at 25° C. and 45° C. decreases to 80%, respectively. It can beobserved that, capacity of the ESS 102 that is operated at 45° C.decrease to 80% earlier when compared to the ESS 102 that is operated at25° C. Such effect on the performance is used to determine theperformance of the ESS 102.

As aforementioned, another operating condition that affects theperformance of the ESS 102 is operating condition during idle period.FIG. 5 illustrates an exemplary graph of affect of state of chargeduring idle period on life of the ESS 102, in accordance with anembodiment. The graph represents the effect of state of charge at whichthe ESS 102 is maintained during idle period, on calendar life of theESS. As it can be seen in the graph, the calendar life of the ESS 102which is maintained at 50% state of charge during idle period would bethe highest. While determining the performance of the ESS 102, sucheffects are taken into consideration.

In an embodiment, in light of determination of performance and life ofthe ESS 102, post warranty period, based on the degradation of the ESS102, the user of the ESS may be charged an appropriate fee. In someembodiments wherein the ESS 102 or the energy system 110 is taken onlease, while determining the compensation to be paid by the user, theextent to which the ESS 102 is degraded is also considered.

In another embodiment, based on the degradation of the ESS 102, thevalue of the ESS 102 is determined.

In an embodiment, the ESS 102 may be applied in a infrastructure whereinthe ESS 102 is configured to electrically communicate with a grid, andsupply electricity to the grid or store electricity supplied from a grid(ex: Vehicle to grid infrastructure). Using the ESS 102 in theaforementioned infrastructure may affect the performance of the ESS 102.In certain cases the ESS 102 might get degraded faster. To determine theperformance/degradation of the ESS 102, the above discussed method andsystem are used. Further, based on the estimation made, the price atwhich electricity is supplied to the grid from the ESS 102 can bedetermined. Additionally or alternatively, one can also decide, based onthe estimate, whether to use or not to use the ESS 102 in theaforementioned infrastructure.

In an embodiment, as recited earlier, historical patterns can bedeveloped using mathematical models. It may be noted that mathematicalor other models can be used in a number of ways, independently or inconjunction with empirical data (ex: data collected from similar ESSover a period of time) to develop patterns for comparison. For example,in an embodiment, a model a specific set of parameters may be used todevelop a historical pattern for comparison or to estimate the ESS 102performance degradation based on short-term or long-term usage pattern.In another embodiment, a model may be used with one or more variableparameters to fit to existing empirical data, and also further toextrapolate empirical data to a later time, to develop a historicalpattern for comparison. In yet another embodiment, a model may be usedto scale existing empirical data to different conditions. Scaling ofempirical date to other conditions may be done if empirical data doesnot exist at identical conditions and scaled empirical data isconsidered more accurate than pure model-generated data. For example,scaling of empirical data may be done in a situation where, a ESS isoperated in a way that is similar to that of existing empirical data butwith some differences in the operating condition, such as, operating ata different temperature or operating at a different depth of discharge,and it is believed that the effects of the parameters that are differentare accurately represented by the model. The model can be fit to theexisting empirical data from similar ESS and situations, following whichthe relevant parameters can be altered and the model used to developpatterns under the new conditions. In another embodiment, a model may beused to disaggregate the lifetime effects of varying operatingconditions and usage patterns over time. For example, if empirical dataexists for the capacity degradation over a usage period of an ESS, whichwas operated in a variety of ways during that period, a model withparameters set appropriately for each different operating condition forthe relevant amount of usage can be used to estimate what fraction ofthe capacity degradation resulted from each operating mode or eachshort-term event, even if the model would not be considered accurateenough to estimate these absolute degradations by itself. In anotherembodiment, a model may be used to aggregate the lifetime effects ofvarying operating conditions and usage patterns over time. For example,if empirical data exists from a number of similar ESS operating indifferent ways, and a model is fit to each of them with the differencesin operating modes appropriately represented as different values of theappropriate parameters, the model can then be used to estimate thelifetime effects on an ESS operated in different modes over time.

Method of Enhancing Performance that the ESS 102 Can Deliver

FIG. 6 is a flow chart illustrating a method for enhancingperformance/life of the ESS 102, in accordance with an embodiment. Atstep 602, the DPS 106 and/or the EMS 104 identify adaptations that canbe made to enhance the performance/life of the ESS 102. Further, if anyadaptations can be made to enhance the performance/life of the ESS 102,post warranty period, then such adaptations are made at step 604. In anembodiment, after identifying the adaptations that can be made toenhance the performance/life of the ESS 102, the DPS 106 or the EMS 104determines whether such adaptations affects the performance of the ESS102 or performance of systems that are dependent on the ESS. Thereafter,if it is determined that performance of the ESS 102 or any dependentsystems may get affected, then user of the ESS 102 is informed about thesame, and adaptations are made based on the command of the user. In anembodiment, prior to making any adaptations, the user's permission issought. Alternatively, adaptations can be made without taking user'spermission.

In an embodiment, before identify adaptations that can be made toenhance the performance/life of the ESS 102, an estimation of theperformance that may be delivered by the ESS 102 is made.

FIG. 7 illustrates an adaptation that is made to the ESS 102, inaccordance with an embodiment. The adaptation is made in light of ESS102 charge and discharge pattern that is illustrated in FIG. 8. In lightof FIG. 8, it is can be seen that user of the ESS 102 has a habit ofcharging the ESS 102 everyday but using the car which is powered by theESS 102 only on weekends. His usage pattern shows that the car is keptidle on full charge over most parts of the week. As seen in FIG. 5 thishas an effect of reducing the life of the ESS 102. The life of the ESS102 can be enhanced if the ESS 102 is maintained at about 50% state ofcharge during the idle period.

To enhance the performance/life of the ESS 102, the charging regime ofthe ESS 102 is adjusted such that the charge level during the idleperiod is limited to a percentage that enhances the life.

FIG. 7 depicts a new charging regime. The DPS 106 or the EMS 104 ensuresthat the ESS 102 gets charged to about 50%. Further, DPS 106 or the EMS104 ensures that charging is initiated such that ESS 102 gets chargedcompletely on late Saturday before the user needs to use the car. TheESS 102 life is thus enhanced without compromising usage requirements.

In light of the foregoing discussion, it will be clear to a person withordinary skill in the art that power usage pattern and storagetemperature pattern can also be adjusted to enhance the performance/lifeof the ESS 102.

In an embodiment, the ESS 102 may be rented out and the compensation tobe paid for taking the ESS 102 on rent can be determined based on theestimation of performance/life of the ESS 102. When the ESS 102 is beingused while it is rented, data corresponding to the ESS 102 is,collected. The data that is collected is used to generate behavioralpattern of the ESS 102 and the same is used for estimatingperformance/life of the ESS 102. Based on this estimation, if the usageof ESS 102 is such that the performance/life of the ESS 102 isincreased, then the rent is reduced by certain factors. Alternatively,if the usage of ESS 102 is such that the performance/life of the ESS 102is decreased, then the rent is increased by certain factors. In anembodiment, the user may be allowed to reduce the rent for the ESS 102by allowing adaptations to be made to the ESS 102 that would enhance theperformance/life of the ESS 102.

The embodiments disclosed herein can be implemented through at least onesoftware program running on at least one hardware device and performingnetwork management functions to control the network elements. Thenetwork elements shown in FIG. 1 include blocks which can be at leastone of a hardware device, or a combination of hardware device andsoftware module.

The embodiments disclosed herein include technique for determining, theperformance the ESS may deliver beyond its warranty period and theduration for which the ESS can be used beyond its warranty period.Additionally, the embodiments disclosed herein enable, enhancement ofperformance that the ESS can deliver beyond its warranty period andincrement of the period for which the ESS can be used beyond itswarranty period. Therefore, it is understood that the embodimentsdisclosed include a program and a computer readable medium having datastored therein. The computer readable medium can contain program codefor implementing one or more steps of the disclosed methods. Thedisclosed embodiments also include a server or any suitable programmabledevice configured to execute that program code. One or more of thedisclosed methods can be implemented through or together with a softwareprogram written in, e.g., very high speed integrated circuit hardwaredescription language (VHDL) or another programming language. Further,the disclosed methods can be implemented by one or more software modulesbeing executed on at least one hardware device. The at least onehardware device can include any kind of portable device that can beprogrammed. The at least one hardware device may also include devicesthat can be programmed (e.g., a hardware device like an ASIC, acombination of hardware and software devices, such as an ASIC and anFPGA, or at least one microprocessor and at least one memory withsoftware modules located therein). The methods described herein can beimplemented partly in hardware and partly in software. Alternatively,embodiments may be implemented on different hardware devices, e.g. usinga plurality of CPUs.

The foregoing description of the specific embodiments will so fullyreveal the general nature of the embodiments disclosed herein thatothers can, by applying current knowledge, readily modify and/or adaptfor various applications such specific embodiments without departingfrom the generic concept, and, therefore, such adaptations andmodifications should and are intended to be comprehended within themeaning and range of equivalents of the disclosed embodiments. It is tobe understood that the phraseology or terminology employed herein is forthe purpose of description and not of limitation. Therefore, while theembodiments disclosed herein have been described in terms of preferredembodiments, those skilled in the art will recognize that theembodiments disclosed herein can be practiced with modification withinthe spirit and scope of the embodiments as described herein.

1. A method for estimating performance delivered by an energy storagesystem, the method comprising: collecting data corresponding to theenergy storage system; generating behavioural pattern of the energystorage system using at least a portion of the collected data; comparingthe behavioural pattern with patterns developed using historical data;and identifying a pattern among the patterns developed using historicaldata, wherein the identified pattern is similar to the behaviouralpattern of the energy storage system; and estimating the performancedelivered by the energy storage system based on performance indicated inthe identified pattern.
 2. The method according to claim 1, whereincollecting data corresponding to the energy storage system comprises,collecting data corresponding to one or more of state of charge at thebeginning and end of the charging cycle, voltage, current, temperature,time, duration of charging and impedance, wherein the data is collectedwhen the energy storage system is charging.
 3. The method according toclaim 1, wherein collecting data corresponding to the energy storagesystem comprises, collecting data corresponding to one or more of, stateof charge at the beginning and end of the discharging cycle, voltage,current, energy spend, temperature, time, duration for discharging, andimpedance, wherein the data is collected when the energy storage systemis discharging.
 4. The method according to claim 1, wherein collectingdata corresponding to the energy storage system comprises, collectingdata corresponding to one or more of, state of charge, voltage, durationof idle period, self discharge and temperature, wherein the data iscollected when the energy storage system is idle.
 5. The methodaccording to claim 1, wherein the patterns developed using historicaldata is generated using data collected from energy storage systems thathave at least substantially similar configuration as compared toconfiguration of the energy storage system for which performance isbeing estimated.
 6. The method according to claim 1, further comprisingdetermining compensation to be paid by a user of the energy storagesystem based on estimation of performance delivered by an energy storagesystem.
 7. The method according to claim 1, further comprisingdetermining value of the energy storage system based on estimation ofperformance delivered by an energy storage system.
 8. The methodaccording to claim 1, wherein performance delivered by an energy storagesystem beyond warranty period of the energy storage system is determinedusing identified pattern.
 9. A method for enhancing performance that canbe delivered by an energy storage system, the method comprising:identifying adaptations to be made to enhance the performance of theenergy storage system; and making adaptations to the energy storagesystem, thereby enhancing the performance that can be delivered by anenergy storage system.
 10. The method according to claim 9, furthercomprising estimating performance delivered by the energy storagesystem.
 11. The method according to claim 9, further comprisingreceiving permission from user of the energy storage system to makeadaptations to the energy storage system.
 12. The method according toclaim 9, wherein adaptations to be made are identified based on patternof usage of the energy storage system.
 13. The method according to claim12, wherein the pattern of usage is charge pattern of the energy storagesystem.
 14. The method according to claim 12, wherein the pattern ofusage is discharge pattern of the energy storage system.
 15. The methodaccording to claim 12, wherein the pattern of usage is temperaturepattern at which the energy storage system is used.
 16. The methodaccording to claim 12, wherein the pattern of usage is physicalparameter pattern at which the energy storage system is used.
 17. Asystem for estimating performance delivered by an energy storage system,the system comprising an energy management system configured tocommunicate and manage the energy storage system and a data processingsystem configured to communicate with the energy management system,wherein the system is configured to: collect data corresponding to theenergy storage system; generate behavioural pattern of the energystorage system using at least a portion of the collected data; comparethe behavioural pattern with patterns developed using historical data;identify a pattern among the patterns developed using historical data,wherein the identified pattern is similar to the behavioural pattern ofthe energy storage system; and estimate the performance delivered by anenergy storage system based on performance indicated in the identifiedpattern.
 18. The system according to claim 17, wherein the system isconfigured to collect data corresponding to one or more of, state ofcharge at the beginning and end of the charging cycle, voltage, current,temperature, time, duration of charging and impedance, wherein the datais collected when the energy storage system is charging.
 19. The systemaccording to claim 17, wherein the system is configured to collect datacorresponding to one or more of, state of charge at the beginning andend of the discharging cycle, voltage, current, energy spend,temperature, time, duration for discharging, and impedance, wherein thedata is collected when the energy storage system is discharging.
 20. Thesystem according to claim 17, wherein the system is configured tocollect data corresponding to one or more of, state of charge, voltage,duration of idle period, self discharge and temperature, wherein thedata is collected when the energy storage system is idle.
 21. The systemaccording to claim 17, wherein the system is configured to develophistorical patterns using data collected from energy storage systemsthat have at least substantially similar configuration as compared toconfiguration of the energy storage system for which performance isbeing estimated.
 22. The system according to claim 17, wherein thesystem is configured to determine compensation to be paid by a user ofthe energy storage system based on estimation of performance deliveredby an energy storage system.
 23. The system according to claim 17,wherein the system is configured to determine value of the energystorage system based on estimation of performance delivered by an energystorage system.
 24. A system for enhancing performance that can bedelivered by an energy storage system, the system comprising an energymanagement system configured to communicate and manage the energystorage system and a data processing system configured to communicatewith the energy management system, wherein the system is configured to:estimate performance delivered by the energy storage system beyond theenergy storage system's warranty period; identify adaptations to be madeto enhance the performance of the energy storage system; and makeadaptations to the energy storage system, thereby enhancing theperformance that can be delivered by an energy storage system beyond theenergy storage system's warranty period.
 25. The system according toclaim 24 is further configured to estimate performance delivered by theenergy storage system.
 26. The system according to claim 24 is furtherconfigured to receive permission from user of the energy storage systemto make adaptations to the energy storage system.
 27. The systemaccording to claim 24, wherein adaptations to be made are identifiedbased on pattern of usage of the energy storage system.
 28. The systemaccording to claim 27, wherein the pattern of usage is charge pattern ofthe energy storage system.
 29. The system according to claim 27, whereinthe pattern of usage is discharge pattern of the energy storage system.30. The system according to claim 27, wherein the pattern of usage istemperature pattern at which the energy storage system is used.
 31. Thesystem according to claim 27, wherein the pattern of usage is physicalparameter pattern at which the energy storage system is used.
 32. Thesystem according to claim 24, wherein the system is further configuredto determine the compensation to be paid by a user of the energy storagesystem based on the adaptations made to the energy storage system. 33.(canceled)
 34. (canceled)